BMC Surgery is calling for submissions to our Collection Robotic and minimally invasive spine surgery: emerging innovations and contemporary outcomes, dedicated to the advancements and innovations in the field. The primary aim of the topical collection is to provide a comprehensive platform for the dissemination of cutting-edge research and clinical insights related to robotic and minimally invasive spine surgery. We invite contributions from surgeons, researchers, patient safety and quality advocates, and other healthcare professionals to contribute to this rapidly evolving discipline. The collection seeks to address a broad spectrum of topics, including but not limited to:
Robotic spinal procedures: application of robotic technologies in spine surgery, particularly its functional outcomes
- Minimally invasive techniques: novel minimally invasive approaches, instruments, and methodologies for spine surgery
- Outcome measures: research investigating patient-reported outcomes, quality of life, and long-term follow-up data for patients undergoing robotic and minimally invasive spine surgeries.
- Innovation: emerging technologies, software, and hardware developments that are shaping the future of spinal surgery, including research evaluating comparison of different robotic platforms.
- Education and Training: contributions related to training programs, simulation tools, and educational strategies for healthcare providers to master the learning curve required for robotic spine and minimally invasive spine surgeries.
- Innovative approaches: innovative applications in robotic spine surgery, including AI, Machine Learning (ML), Augmented Reality (AR), and Deep Learning techniques, alongside the development and utilization of new, previously unreported devices for minimally invasive procedures.
- Biomechanical studies: studies focusing on the dynamics of the spine before and after minimally invasive and robotic surgeries.
- Patient-centered care: research focusing on patient selection criteria, shared decision-making, and the role of patient preferences in choosing surgical approaches.
- Quality, patient safety, and value-based care: studies exploring minimally invasive and robotic spine surgery's value, cost-effectiveness, safety, and/or quality.
While all contributions related to minimally invasive and robotic spine surgery are welcome, we are particularly interested in articles that investigate (A) Integrating AI and Machine Learning (ML) with robotic spine surgery for personalized surgical planning, (B) Integrating Augmented Reality (AR) with robotic or minimally invasive spine surgery, and (C) Use of deep learning and convolutional neural networks for prediction of surgical outcomes.
Image credit: Danish Khan / stock.adobe.com
